Given the hashtag features, we reduce the dimension to 50 using PCA.
We represent the hashtags in a 2D plane by computing a t-sne map [1]}.
We use the scikit-learn [2]} implementation, with a perplexity of \(40.0\) , a learning rate of \(100.0\)  and running for 5000 iterations.
